Home BlogDatasetDeveloping Systems to Identify Deepfakes

Developing Systems to Identify Deepfakes

by Michael McLaughlin
written by Michael McLaughlin
Images of manipulated videos depicting people talking.

Google has released a dataset of deepfake videos to further the development of systems that can detect deepfakes. The dataset includes 363 real videos of 28 consenting actors and an additional 3,068 manipulated videos. Google generated the manipulated videos using publicly available deepfake generation methods. 

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Michael McLaughlin is a research analyst at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.

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